SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
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Apr 21, 2025 - Python
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snn
Here are 92 public repositories matching this topic...
Simulation of spiking neural networks (SNNs) using PyTorch.
machine-learning reinforcement-learning simulation dynamic pytorch neurons spiking-neural-networks gpu-computing synapse snn stdp
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Apr 26, 2025 - Python
Deep and online learning with spiking neural networks in Python
python machine-learning neuroscience spike pytorch neural-networks spiking-neural-networks snn spiking neuron-models
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Feb 22, 2025 - Python
A PyTorch implementation of Spiking-YOLOv3. Two branches are provided, based on two common PyTorch implementation of YOLOv3(ultralytics/yolov3 & eriklindernoren/PyTorch-YOLOv3), with support for Spiking-YOLOv3-Tiny at present.
coco pascal-voc snn yolov3-tiny pytorch-yolov3 spiking-neural-network parameter-normalization ann-to-snn channel-wise-normalization eriklindernoren ultralytics convert-operators spiking-yolo
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Mar 23, 2021 - Python
Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper
deep-learning cnn pytorch convolutional-neural-networks neuromorphic cifar10 spatio-temporal-analysis snn
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Oct 22, 2020 - Python
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks
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Aug 9, 2022 - Python
Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
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Apr 4, 2021 - Python
Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network
deep-learning binary spike pytorch transformer spiking-neural-networks energy-efficiency snn neuromorphic-computing brain-inspired spikingjelly 3rd-generation-of-artificial-neural-networks spiking-transformer
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Nov 28, 2024 - Python
A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromorphic hardware.
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Mar 18, 2025 - Python
Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this project.
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Mar 15, 2018 - Python
Spiking-DDPG trains an SNN for energy-efficient mapless navigation on Intel's Loihi neuromorphic processor.
deep-reinforcement-learning pytorch ros gazebo spiking-neural-networks ddpg turtlebot2 snn neuromorphic-computing loihi intel-neuromorphic mapless-navigation
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Oct 31, 2021 - Python
A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorphic hardware.
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Apr 17, 2025 - Python
DRL with population coded spiking neural network for optimal and energy-efficient continuous control.
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Dec 15, 2021 - Python
Quantization-aware training with spiking neural networks
deep-learning neuroscience networks spiking-neural-networks quantization backpropagation neural snn spiking quantization-aware-training
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Feb 18, 2022 - Python
Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation
deep-learning binary spike pytorch transformer energy-efficiency snn neuromorphic-computing brain-inspired spiking-neural-network spikingjelly 3rd-generation-of-artificial-neural-networks spiking-transformer
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Jul 2, 2024 - Python
spiking-neural-networks
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Jan 19, 2025 - Python
[ICCV 2021] Code release for "Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks"
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Jul 24, 2022 - Python
Nuerapse simulations for SNNs
neural-network neuroscience artificial-neural-networks spike-trains snn stdp neurocomputing dynamic-random-networks
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Oct 10, 2018 - Python
Implementation of a Spiking Neural Network in Tensorflow.
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May 13, 2018 - Python
Offical implementation of "Adaptive Smoothing Gradient Learning for Spiking Neural Networks", ICML 2023
machine-learning spiking-neural-networks dvs snn neuromorphic-computing hybrid-training noisy-networks smoothing-methods
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Aug 30, 2023 - Python
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